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The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to provide actionable recommendations and strategic guidance to HR leadership and business leaders. This role is deeply collaborative, partnering with HRBPs and HR leaders to address complex talent, workforce, and business questions through data.
By combining strong business acumen with sophisticated analytical capabilities, the Principal HR Data Analyst transforms complex workforce data into clear insights, forecasts, scenarios, and recommendations that support critical business decisions. The role will contribute to both established and emerging analytical priorities, including workforce growth, compensation and workforce cost, hiring and attrition, and other high-impact talent initiatives.
Success in this role requires strong technical, analytical, and consultative skills; curiosity about the business; and the ability to independently translate ambiguous business questions into rigorous, scalable analytical solutions.
Responsibilities

• Partner with HR and business leadership to frame and solve complex workforce questions, designing and interpreting analyses across areas including compensation, hiring, offers, terminations, attrition, internal movement, talent, and workforce cost to support strategic business decisions.
• Develop scenario models, forecasts, and advanced analyses that quantify the workforce and financial implications of talent decisions, including the impact of hiring and employee movement on salary, equity, and other workforce costs.
• Gather, integrate, and synthesize HR data from multiple sources, transforming large and complex datasets into scalable analytical models, actionable business insights, and impactful data visualizations.
• Serve as a subject matter expert on people data, analytical methodologies, tools, and resources; consult with stakeholders to determine the appropriate metrics, methods, and analytical approaches for answering complex workforce questions.
• Apply advanced analytical and technical capabilities-including SQL, Python and/or R, statistical techniques, Oracle reporting and analytics tools, and advanced Excel-to identify trends, evaluate drivers, automate analyses, and develop predictive or forward-looking insights.
• Explore and apply AI, machine learning, and emerging analytical techniques to improve the speed, scalability, and sophistication of HR analytics, while ensuring appropriate validation, governance, and responsible use of employee data.
• Exercise sound judgment and ensure responsible handling, analysis, and release of sensitive employee data, adhering to applicable data governance, privacy, and security standards.
• Work independently to prioritize multiple priorities and high-visibility requests in a fast-paced, agile environment, demonstrating strong ownership, analytical rigor, attention to detail, and accountability.
• Develop a deep understanding of the business and proactively identify emerging workforce trends, risks, and analytical opportunities; consult with HRBPs and leaders to recommend data-driven approaches and solutions.
• Synthesize complex analyses into clear business implications, scenarios, and recommendations, communicating effectively through executive-ready written narratives, presentations, and visualizations for both technical and non-technical audiences.

Successful candidates will ideally bring the following:

• An advanced College or University degree in Data Science, Statistics, Data Management, Economics, Industrial/Organizational Psychology, or a related quantitative field
• 8+ years of experience in people analytics, data science, business analytics, workforce planning, or a related analytical discipline
• Demonstrated experience with statistical modeling, forecasting, predictive analytics, or scenario analysis
• Experience applying AI, machine learning, or generative AI to analytical or business workflows
• Experience analyzing compensation, workforce cost, hiring, attrition, or other workforce financial measures
• Experience with Oracle Fusion Cloud HCM, OTBI, BI Publisher, and/or Oracle Analytics Cloud

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Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $91,400 to $187,000 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
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